Prófum þetta

config.json

@@ -1,7 +1,7 @@
 {
   "_name_or_path": "eliasbe/XLMR-ENIS-finetuned-ner",
   "architectures": [
-    "XLMRobertaForTokenClassification"
+    "RobertaForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
@@ -11,39 +11,55 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-   "id2label": {
+  "id2label": {
     "0": "O",
-    "7": "B-MISC",
-    "8": "I-MISC",
-    "1": "B-PER",
-    "2": "I-PER",
-    "3": "B-ORG",
-    "4": "I-ORG",
-    "5": "B-LOC",
-    "6": "I-LOC"
+    "1": "B-Date",
+    "2": "B-Location",
+    "3": "B-Miscellaneous",
+    "4": "B-Money",
+    "5": "B-Organization",
+    "6": "B-Percent",
+    "7": "B-Person",
+    "8": "B-Time",
+    "9": "I-Date",
+    "10": "I-Location",
+    "11": "I-Miscellaneous",
+    "12": "I-Money",
+    "13": "I-Organization",
+    "14": "I-Percent",
+    "15": "I-Person",
+    "16": "I-Time"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-    "label2id": {
-    "B-LOC": 5,
-    "B-MISC": 7,
-    "B-ORG": 3,
-    "B-PER": 1,
-    "I-LOC": 6,
-    "I-MISC": 8,
-    "I-ORG": 4,
-    "I-PER": 2,
+  "label2id": {
+    "B-Date": 1,
+    "B-Location": 2,
+    "B-Miscellaneous": 3,
+    "B-Money": 4,
+    "B-Organization": 5,
+    "B-Percent": 6,
+    "B-Person": 7,
+    "B-Time": 8,
+    "I-Date": 9,
+    "I-Location": 10,
+    "I-Miscellaneous": 11,
+    "I-Money": 12,
+    "I-Organization": 13,
+    "I-Percent": 14,
+    "I-Person": 15,
+    "I-Time": 16,
     "O": 0
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
-  "model_type": "xlm-roberta",
+  "model_type": "roberta",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.10.3",
+  "transformers_version": "4.11.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50005